Liang Jiang

741 citations
44 papers · 490 indexed · h-index 14
Topics
Acute Ischemic Stroke Management (14 papers)Cerebrovascular and Carotid Artery Diseases (13 papers)Functional Brain Connectivity Studies (8 papers)

In The Last Decade

Liang Jiang

42 papers receiving 483 citations

Peers

Liang Jiang
Comparison fields: 5 of 93
  • Radiology, Nuclear Medicine and Imaging 177
  • Epidemiology 174
  • Cognitive Neuroscience 155
  • Pulmonary and Respiratory Medicine 103
  • Neurology 80
Replace Grégory Kuchcinski with:
Grégory Kuchcinski France
Edwin Bennink Netherlands
Pedro Vilela Portugal
Hanani Abdul Manan Malaysia
Laura Ludovica Gramegna Italy
Anna K. Bonkhoff United States
Ismail Ughratdar United Kingdom
Inger Havsteen Denmark
Anastasios Chatzikonstantinou Germany
Josep Puig Spain
Liang Jiang relative to Grégory Kuchcinski France Grégory Kuchcinski's profile →
Citations per field
00.5×1.5×
Grégory Kuchcinski · 1×
Citations per year

Countries citing papers authored by Liang Jiang

Since Specialization
Citations

This map shows the geographic impact of Liang Jiang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Liang Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Jiang more than expected).

Fields of papers citing papers by Liang Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liang Jiang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Liang Jiang. The network helps show where Liang Jiang may publish in the future.

Co-authorship network of co-authors of Liang Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Jiang. A scholar is included among the top collaborators of Liang Jiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liang Jiang. Liang Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 3
4 10
5 2
6 4
7 1
8 6
9 13
10 13
11 13
12 4
13 29
14 8
15 4
16 12
17 37
18 23
19 8
20
A Method of Finding Time-variant Weight in Combination Forecasting Model
1

About Liang Jiang

Liang Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pharmaceutical Science, having authored 44 papers that have together received 490 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (14 papers), Cerebrovascular and Carotid Artery Diseases (13 papers) and Functional Brain Connectivity Studies (8 papers). The work is most often cited by research in Neurology (80 citations), Cognitive Neuroscience (155 citations) and Radiology, Nuclear Medicine and Imaging (177 citations). Liang Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yu‐Chen Chen, Xindao Yin, Huiyou Chen, Cunnan Mao, Hong Zhang, Quan Xu, Yang Chen, Ming Liu, Limin Luo and Limin Wu. Their work appears in journals such as Stroke, Scientific Reports and Magnetic Resonance in Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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